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André Silvestre20240502, Filipa Pereira20240509, Umeima Mahomed20240543


1 Introduction

Welcome to posterdown ! This is my attempt to provide a semi-smooth workflow for those who wish to take their R Markdown skills to the conference world. Most features from R Markdown are available in this package such as Markdown section notation, figure captioning, and even citations like this one (Allaire et al., 2024). The rest of this example poster will show how you can insert typical conference poster features into your own document.

1.1 Objectives

  1. Easy to use reproducible poster design.
  2. Integration with R Markdown.
  3. Easy transition from posterdown to pagedown report or manuscript documents (Xie et al., 2024).

2 Methods

This package uses the same workflow approach as the R Markdown you know and love. Basically it goes from RMarkdown > Knitr > Markdown > Pandoc > HTML/CSS > PDF. You can even use the bibliography the same way (Thorne, 2019).

Maybe you want to show off some of that fancy code you spent so much time on to make that figure, well you can do that too! Just use the echo=TRUE option in the r code chunk options, Figure 2.1!

<span class="caption-text">Boxplots, message=FALSE, warning=FALSE, out.width="95%", so hot right now!</span>

Figure 2.1: Boxplots, message=FALSE, warning=FALSE, out.width=“95%”, so hot right now!

Animated Map
Animated Map

How about a neat table of data? See, Table ??:

3 Results

Usually you want to have a nice table displaying some important results that you have calculated. In posterdown this is as easy as using the kable table formatting you are probably use to as per typical R Markdown formatting.

You can reference tables like so: Table ??. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aliquam placerat augue at velit tincidunt semper. Donec elementum porta posuere. Nullam interdum, odio at tincidunt feugiat, turpis nisi blandit eros, eu posuere risus felis non quam. Nam eget lorem odio. Duis et aliquet orci. Phasellus nec viverra est.

Table 3.1: Results of Statistical Tests
Test p-value H0 Conclusion
Robust Hausman 0.9294 use random effects use random effects
Breusch Pagan (Pooled OLS, Homosk.) 4.707e-135 Homosk. Heterosk.
Breusch Pagan (FE, Homosk.) 4.707e-135 Homosk. Heterosk.
Breusch Pagan (RE, Homosk.) 4.707e-135 Homosk. Heterosk.
Table 3.2: Results of Statistical Models
Model Females Males Survivors Drowning
Pooled OLS 0.2744 *** 0.0769 *** 0.0265 *** 0.0782 ***
Fixed Effects 0.2747 *** 0.0691 *** 0.0214 *** 0.0486 ***
Random Effects 0.2747 *** 0.0689 *** 0.0212 *** 0.0479 ***
Robust Pooled 0.2744 *** 0.0769 *** 0.0265 *** 0.0782 ***
Robust Fixed Effects 0.2747 *** 0.0691 ** 0.0214 *** 0.0486 **
Robust Random Effects 0.2747 *** 0.0689 ** 0.0212 *** 0.0479 **

4 Next Steps

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5 Conclusion

Try posterdown out! Hopefully you like it!

References

Allaire, J., Xie, Y., Dervieux, C., McPherson, J., Luraschi, J., Ushey, K., Atkins, A., Wickham, H., Cheng, J., Chang, W., & Iannone, R. (2024). Rmarkdown: Dynamic documents for r. https://github.com/rstudio/rmarkdown
Thorne, B. (2019). Posterdown: Generate PDF conference posters using r markdown. https://github.com/brentthorne/posterdown
Xie, Y., Lesur, R., Thorne, B., & Tan, X. (2024). Pagedown: Paginate the HTML output of r markdown with CSS for print. https://github.com/rstudio/pagedown